A quality control manager at a solar panel manufacturing facility tests a new anti-reflective coating. The null hypothesis H0:μ=320 WH_0: \mu = 320\text{ W}H0:μ=320 W (the mean power output is unchanged) is tested against the alternative hypothesis H1:μ>320 WH_1: \mu > 320\text{ W}H1:μ>320 W at a 1% significance level. The manager rejects H0 H_0\,H0 and decides to implement the new coating. However, in reality, the new coating does not change the mean power output, which remains at 320 W.
Which option correctly identifies the type of error made by the manager, and the probability of making this error when the null hypothesis is true?
Type I error, with a probability of 0.990.990.99
Type II error, with a probability of 0.010.010.01
Type I error, with a probability of 0.010.010.01
Type II error, with a probability of 0.990.990.99
644 exam-style questions on OCR A Level Psychology Research methods and techniques. Each one has a worked solution and a mark scheme showing where the marks go.